Study and implementation of personalized searching system based on user´s interest model

The common personalized searching technology can neither make full use of features of domain knowledge, nor understand the user´s special needs in this field. Aiming at solving this issue, this paper studies personalized searching technology combining the characteristics of domain. Facing tourism fields, this paper designs and realizes a user-based personalized searching system, and provides with its general framework and implementation of system functions. The tourism field knowledge database is firstly established. According to the user´s browsing history and personal information, this paper builds the user-interest model based on tourism areas, and then realizes the personalized information recommendation technology and information expanding searching. The results show that the information searching based on domain knowledge and tourism information achieves better results in recall rate, accuracy and recommend function than traditional searching engine.